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Bayesian module identification from multiple noisy networks

BACKGROUND AND MOTIVATIONS: Module identification has been studied extensively in order to gain deeper understanding of complex systems, such as social networks as well as biological networks. Modules are often defined as groups of vertices in these networks that are topologically cohesive with simi...

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Bibliografiske detaljer
Udgivet i:EURASIP J Bioinform Syst Biol
Main Authors: Zamani Dadaneh, Siamak, Qian, Xiaoning
Format: Artigo
Sprog:Inglês
Udgivet: Springer International Publishing 2016
Fag:
Online adgang:https://ncbi.nlm.nih.gov/pmc/articles/PMC4744266/
https://ncbi.nlm.nih.gov/pubmed/26893596
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s13637-016-0038-9
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